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Towards Sustainable Smart Homes by a Hierarchical Hybrid Architecture of an Intelligent Agent

Department of Computer Science, Yonsei University, Seoul 120-749, Korea
Author to whom correspondence should be addressed.
Academic Editor: Sehyun Park
Sustainability 2016, 8(10), 1020;
Received: 5 August 2016 / Revised: 16 September 2016 / Accepted: 30 September 2016 / Published: 13 October 2016
(This article belongs to the Special Issue The Advent of Smart Homes)
A smart home can be realized by the provision of services, such as building control, automation and security implemented in accordance with a user’s request. One of the important issues is how to respond quickly and appropriately to a user’s request in a “dynamic environment”. An intelligent agent infers the user’s intention and provides the intact service. This paper proposes a smart home agent system based on a hierarchical hybrid architecture of a user intention model, which models the user intention as a hierarchical structure and implements it in a dynamic environment. The conventional rule-based approach needs to obtain all information before it is executed, which requires a large number of rules and is hardly scalable as the control objects are increasing. On the other hand, the proposed system consists of several modules that construct a hierarchical user intention model. The smart home system needs to take account of the information, such as time, state of device and state of the home, in addition to users’ intention. We evaluate the performance of the proposed system in a dynamic environment and conduct a blind test with seven subjects to measure the satisfaction of service, resulting in the average score of 81.46. View Full-Text
Keywords: smart home; intelligent agent; human intention; hybrid architecture smart home; intelligent agent; human intention; hybrid architecture
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Yang, K.; Cho, S.-B. Towards Sustainable Smart Homes by a Hierarchical Hybrid Architecture of an Intelligent Agent. Sustainability 2016, 8, 1020.

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